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Automated Machine Learning with AutoKeras

You're reading from Automated Machine Learning with AutoKeras Deep learning made accessible for everyone with just few lines of coding

Product type Paperback

Published in May 2021

Publisher Packt

ISBN-13 9781800567641

Length 194 pages

Edition 1st Edition

Languages

Python

Tools

AutoKeras

Concepts

Deep Learning

Author (1):

Luis Sobrecueva

View More author details

Table of Contents (15) Chapters

Preface

1. Section 1: AutoML Fundamentals

2. Chapter 1: Introduction to Automated Machine Learning FREE CHAPTER

3. Chapter 2: Getting Started with AutoKeras

4. Chapter 3: Automating the Machine Learning Pipeline with AutoKeras

5. Section 2: AutoKeras in Practice

6. Chapter 4: Image Classification and Regression Using AutoKeras

7. Chapter 5: Text Classification and Regression Using AutoKeras

8. Chapter 6: Working with Structured Data Using AutoKeras

9. Chapter 7: Sentiment Analysis Using AutoKeras

10. Chapter 8: Topic Classification Using AutoKeras

11. Section 3: Advanced AutoKeras

12. Chapter 9: Working with Multimodal and Multitasking Data

13. Chapter 10: Exporting and Visualizing the Models

14. Other Books You May Enjoy

Creating a news topic classifier

The model we are going to create will classify news from the Reuters newswire classification dataset. It will read the raw text of each news item and classify it into sections, assigning a label corresponding to the section that they belong to (Sports, Weather, Travel, and so on).

Reuters newswire is a dataset that contains 11,228 newswires from Reuters, labeled over 46 topics.

The text of each news item is encoded as a list of word indexes. These are integers that are indexed by frequency in the dataset. So, here, integer 1 encodes the first most frequent word in the data, 2 encodes the second most frequent, and so on.

The notebook that contains the complete source code can be found at https://github.com/PacktPublishing/Automated-Machine-Learning-with-AutoKeras/blob/main/Chapter08/Chapter8_Reuters.ipynb.

Now, let's have a look at the relevant cells of the notebook in detail:

Installing AutoKeras: As we've mentioned in...

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Authors (1)

Sobrecueva

Sobrecueva

Luis Sobrecueva is a senior software engineer and ML/DL practitioner currently working at Cabify. He has been a contributor to the OpenAI project as well as one of the contributors to the AutoKeras project.

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